Design an unsafe content detection system

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Quick Overview

This question evaluates a candidate's competency in end-to-end machine learning system design for unsafe user-generated content detection, covering multimodal modeling, real-time inference and serving, scalability, reliability, evaluation metrics, policy-driven actions, and human-in-the-loop workflows.

Design an unsafe content detection system

Company: Pinterest

Role: Machine Learning Engineer

Category: ML System Design

Difficulty: hard

Interview Round: Onsite

Overview: This question evaluates a candidate's competency in end-to-end machine learning system design for unsafe user-generated content detection, covering multimodal modeling, real-time inference and serving, scalability, reliability, evaluation metrics, policy-driven actions, and human-in-the-loop workflows.

Read the full Pinterest Machine Learning Engineer interview experience this question came from

|Home/ML System Design/Pinterest
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Pinterest
Jan 12, 2026
hardMachine Learning EngineerOnsiteML System Design
14
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